Asset Management

Asset Management

Slow research delays your best investment decisions

Slow research delays your best investment decisions

Slow research delays your best investment decisions

AI agents for asset management teams. Extract, structure and analyse data across research reports, filings and portfolio documents — so your team focuses on decisions, not document review.

Asset managers allocate capital across asset classes and depend on research, disclosures, performance data, and risk reporting to inform investment decisions.

Built for asset managers processing reports and filings at scale.

Analysts spend hours manually reading earnings reports, SEC filings and third-party research before a single allocation decision is made. That lag compounds across positions, slowing the team's ability to act on time-sensitive signals.

Designed to work for your

Portfolio Manager
Analyst
Head of Research

Automating the asset management research cycle

Automating the asset management research cycle

From security analysis to investor reporting, V7 agents handle the document-heavy steps across the investment lifecycle.

From security analysis to investor reporting, V7 agents handle the document-heavy steps across the investment lifecycle.

Security analysis

Portfolio allocation

Risk reporting

Performance review

Investor reporting

  • Earnings report extraction

  • SEC filing analysis

  • Analyst note summarization

  • Peer comparison

  • Sentiment scoring

Home

AI Contract Review Agent

Build

Review

Workflow

Export

Share

File Input

Clauses

State

Reference

Company

Financials

1

2

3

4

5

6

7

8

9

10

11

12

13

Apple_Jan.pdf

Google_Jan.pdf

Amazon_Q1.pdf

Microsoft_Feb.pdf

Meta_March.pdf

Tesla_Q2.pdf

Samsung_Apr.pdf

Nvidia_May.pdf

IBM_June.pdf

Adobe_July.pdf

Oracle_Aug.pdf

Intel_Sep.pdf

Siemens_Oct.pdf

Early termination (30 days)

Non-compete: 24 months

Confidentiality: 3 years

Governing law: WA

Missing arbitration clause

Confidentiality: employees + contractors

Indemnity: unilateral

Data retention: indefinite

IP ownership: recipient

Severability: inconsistent

Assignment clause: restricted

Jurisdiction: California

Signature block missing

Conflict

Conflict

No conflict

No conflict

Conflict

No conflict

Conflict

Conflict

No conflict

Conflict

No conflict

Conflict

No conflict

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Apple Inc.

Google LLC

Amazon.com Inc.

Microsoft Corp.

Meta Platforms Inc.

Tesla Inc.

Samsung Electronics

NVIDIA Corp.

IBM Corp.

Adobe Inc.

Oracle Corp.

Intel Corp.

Siemens AG

€25,000.00

€40,000.00

€15,000.00

€30,000.00

€22,000.00

€18,500.00

€27,000.00

€35,000.00

€21,000.00

€19,750.00

€28,000.00

€24,500.00

€26,250.00

Security analysis

Portfolio allocation

Risk reporting

Performance review

Investor reporting

  • Earnings report extraction

  • SEC filing analysis

  • Analyst note summarization

  • Peer comparison

  • Sentiment scoring

Home

AI Contract Review Agent

Build

Review

Workflow

Export

Share

File Input

Clauses

State

Reference

Company

Financials

1

2

3

4

5

6

7

8

9

10

11

12

13

Apple_Jan.pdf

Google_Jan.pdf

Amazon_Q1.pdf

Microsoft_Feb.pdf

Meta_March.pdf

Tesla_Q2.pdf

Samsung_Apr.pdf

Nvidia_May.pdf

IBM_June.pdf

Adobe_July.pdf

Oracle_Aug.pdf

Intel_Sep.pdf

Siemens_Oct.pdf

Early termination (30 days)

Non-compete: 24 months

Confidentiality: 3 years

Governing law: WA

Missing arbitration clause

Confidentiality: employees + contractors

Indemnity: unilateral

Data retention: indefinite

IP ownership: recipient

Severability: inconsistent

Assignment clause: restricted

Jurisdiction: California

Signature block missing

Conflict

Conflict

No conflict

No conflict

Conflict

No conflict

Conflict

Conflict

No conflict

Conflict

No conflict

Conflict

No conflict

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Template_v2.pdf

Apple Inc.

Google LLC

Amazon.com Inc.

Microsoft Corp.

Meta Platforms Inc.

Tesla Inc.

Samsung Electronics

NVIDIA Corp.

IBM Corp.

Adobe Inc.

Oracle Corp.

Intel Corp.

Siemens AG

€25,000.00

€40,000.00

€15,000.00

€30,000.00

€22,000.00

€18,500.00

€27,000.00

€35,000.00

€21,000.00

€19,750.00

€28,000.00

€24,500.00

€26,250.00

In numbers

0x
0x
0x

Faster document processing

Faster document processing

Faster document processing

0+
0+
0+

Automation templates

Automation templates

Automation templates

95.0%
95.0%
95.0%

Accuracy

Accuracy

Accuracy

Proof of concept in hours.

Proof of concept in hours.

Covering specialised use cases

Deployment in days.

Integrations

Integrations

Connect to your research platforms, portfolio systems and data providers.

Connect to your research platforms, portfolio systems and data providers.

Import and export into your most used applications.

Results you can trust.
Trustworthy AI document processing toolkit.

Security

Scale with security

V7 is fully secure & compliant

SOC 2, ISO27001 and GDPR compliant

Role-based access control

Secure data handling

SOC 2

GDPR

ISO27001

Security

Scale with security

V7 is fully secure & compliant

SOC 2, ISO27001 and GDPR compliant

Role-based access control

Secure data handling

SOC 2

GDPR

ISO27001

FAQs

Have questions?
Find answers.

Have questions?
Find answers.

What types of documents can V7 process for asset management teams?

V7 agents process the full range of documents asset managers work with — earnings reports, 10-Ks, sell-side research, fund disclosures, portfolio statements and management presentations — in PDF, Excel or slide format. Each extracted data point is cited back to its source, so analysts can verify outputs without returning to the original document. Learn more about V7 agents.

+

Can V7 process SEC filings and regulatory disclosures at scale?

V7 agents can work through large volumes of regulatory filings — 10-Ks, 10-Qs, proxy statements, fund prospectuses — extracting structured data across multiple documents in a single workflow. This makes it practical to monitor disclosures across an entire coverage universe rather than reading selectively. See the full range of agent capabilities.

+

How does V7 fit into our existing portfolio management workflow?

V7 is built to sit alongside the tools portfolio teams already use, routing structured outputs directly into research trackers, OMS platforms and reporting systems without manual re-entry. Agents are configured without engineering resources, so investment teams can adopt them without IT involvement.

+

How does V7 help streamline investor reporting?

V7 agents can extract performance data, populate report templates and draft LP commentary directly from source documents, reducing the manual effort that typically sits with analysts at reporting cycle-end. The result is consistent, traceable outputs that your team can review and approve rather than build from scratch. See examples in our customer stories.

+

How does V7 ensure extracted data is accurate and auditable?

Every data point extracted by a V7 agent is linked back to its exact source location — page, section, and document — so your team can audit any output in seconds. The platform is designed for environments where traceability is non-negotiable, and all outputs can be reviewed and corrected to maintain a quality feedback loop.

+

Can V7 handle the volume of research and filings a large asset manager processes?

V7 Go is built to scale across large document volumes, running multiple agents in parallel across an entire coverage universe or fund range. The platform handles the throughput that would otherwise require significant analyst time, without sacrificing citation quality or traceability.

+

State of 2026

Answers. Tasks. Operations.

Answers. Tasks. Operations.

Answers. Tasks. Operations.

AI handles the first two.

AI handles the first two.

AI handles the first two.

Almost no one automates the third.

Almost no one automates the third.

Almost no one automates the third.

Until now.

Until now.

Until now.

Welcome Go

It's time

Start building fully automated financial infrastructures.

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